Pandas Profiling Report

Dataset statistics

Number of variables	15
Number of observations	76014
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	36.5 MiB
Average record size in memory	503.7 B

Variable types

NUM	9
CAT	6

Reproduction

Analysis started	2020-07-07 16:33:07.675719
Analysis finished	2020-07-07 16:33:32.502561
Duration	24.83 seconds
Version	pandas-profiling v2.8.0
Command line	`pandas_profiling --config_file config.yaml [YOUR_FILE.csv]`
Download configuration	config.yaml

Warnings

`date` has a high cardinality: 442 distinct values	High cardinality
`batsman` has a high cardinality: 411 distinct values	High cardinality
`bowler` has a high cardinality: 329 distinct values	High cardinality
`overs` is highly correlated with `runs`	High correlation
`runs` is highly correlated with `overs`	High correlation
`runs` has 808 (1.1%) zeros	Zeros
`wickets` has 14840 (19.5%) zeros	Zeros
`runs_last_5` has 808 (1.1%) zeros	Zeros
`wickets_last_5` has 24918 (32.8%) zeros	Zeros
`striker` has 1437 (1.9%) zeros	Zeros
`non-striker` has 12246 (16.1%) zeros	Zeros

mid
Real number (ℝ_≥0)

Distinct count	617
Unique (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	308.62773962691085
Minimum	1
Maximum	617
Zeros	0
Zeros (%)	0.0%
Memory size	594.0 KiB

Quantile statistics

Minimum	1
5-th percentile	32
Q1	154
median	308
Q3	463
95-th percentile	586
Maximum	617
Range	616
Interquartile range (IQR)	309

Descriptive statistics

Standard deviation	178.1568778
Coefficient of variation (CV)	0.5772549092
Kurtosis	-1.202321237
Mean	308.6277396
Median Absolute Deviation (MAD)	155
Skewness	0.004636232404
Sum	23460029
Variance	31739.87312

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
309	132	0.2%
420	131	0.2%
32	131	0.2%
299	131	0.2%
106	131	0.2%
115	131	0.2%
86	130	0.2%
252	130	0.2%
150	130	0.2%
130	130	0.2%
117	130	0.2%
93	130	0.2%
570	130	0.2%
267	130	0.2%
132	130	0.2%
593	129	0.2%
217	129	0.2%
395	129	0.2%
348	129	0.2%
471	129	0.2%
285	129	0.2%
224	129	0.2%
500	129	0.2%
609	129	0.2%
102	129	0.2%
Other values (592)	72767	95.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	124	0.2%
2	124	0.2%
3	122	0.2%
4	123	0.2%
5	118	0.2%
6	122	0.2%
7	122	0.2%
8	127	0.2%
9	126	0.2%
10	124	0.2%

Value	Count	Frequency (%)
617	125	0.2%
616	116	0.2%
615	125	0.2%
614	127	0.2%
613	98	0.1%
612	125	0.2%
611	118	0.2%
610	124	0.2%
609	129	0.2%
608	124	0.2%

date
Categorical

HIGH CARDINALITY

Distinct count	442
Unique (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	594.0 KiB

2011-04-22	257
2010-03-25	257
2012-05-20	256
2015-04-25	255
2010-03-13	254
Other values (437)	74735

Value	Count	Frequency (%)
2011-04-22	257	0.3%
2010-03-25	257	0.3%
2012-05-20	256	0.3%
2015-04-25	255	0.3%
2010-03-13	254	0.3%
2009-05-12	254	0.3%
2011-04-15	254	0.3%
2009-04-26	254	0.3%
2010-04-11	254	0.3%
2014-05-14	254	0.3%
2014-04-18	253	0.3%
2009-05-10	253	0.3%
2012-05-05	253	0.3%
2017-04-15	253	0.3%
2014-04-19	253	0.3%
2010-03-14	253	0.3%
2013-04-17	253	0.3%
2012-04-21	253	0.3%
2013-04-27	252	0.3%
2017-04-29	252	0.3%
2017-05-06	252	0.3%
2016-04-16	252	0.3%
2016-04-23	252	0.3%
2017-04-16	252	0.3%
2010-04-07	252	0.3%
Other values (417)	69677	91.7%

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Overview of Unicode Properties

Unique unicode characters	11
Unique unicode categories (?)	2
Unique unicode scripts (?)	1
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
0	200991	26.4%
-	152028	20.0%
2	117205	15.4%
1	108151	14.2%
4	50905	6.7%
5	50208	6.6%
3	22560	3.0%
7	15066	2.0%
9	14747	1.9%
8	14325	1.9%
6	13954	1.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	608112	80.0%
Dash Punctuation	152028	20.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
0	200991	33.1%
2	117205	19.3%
1	108151	17.8%
4	50905	8.4%
5	50208	8.3%
3	22560	3.7%
7	15066	2.5%
9	14747	2.4%
8	14325	2.4%
6	13954	2.3%

Most frequent Dash Punctuation characters

Value	Count	Frequency (%)
-	152028	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	760140	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
0	200991	26.4%
-	152028	20.0%
2	117205	15.4%
1	108151	14.2%
4	50905	6.7%
5	50208	6.6%
3	22560	3.0%
7	15066	2.0%
9	14747	1.9%
8	14325	1.9%
6	13954	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	760140	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
0	200991	26.4%
-	152028	20.0%
2	117205	15.4%
1	108151	14.2%
4	50905	6.7%
5	50208	6.6%
3	22560	3.0%
7	15066	2.0%
9	14747	1.9%
8	14325	1.9%
6	13954	1.8%

venue
Categorical

Distinct count	35
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	594.0 KiB

M Chinnaswamy Stadium	7443
Feroz Shah Kotla	7068
Eden Gardens	7049
Wankhede Stadium	7048
MA Chidambaram Stadium, Chepauk	5972
Other values (30)	41434

Value	Count	Frequency (%)
M Chinnaswamy Stadium	7443	9.8%
Feroz Shah Kotla	7068	9.3%
Eden Gardens	7049	9.3%
Wankhede Stadium	7048	9.3%
MA Chidambaram Stadium, Chepauk	5972	7.9%
Rajiv Gandhi International Stadium, Uppal	5827	7.7%
Punjab Cricket Association Stadium, Mohali	4247	5.6%
Sawai Mansingh Stadium	4110	5.4%
Dr DY Patil Sports Academy	2088	2.7%
Subrata Roy Sahara Stadium	2086	2.7%
Maharashtra Cricket Association Stadium	1843	2.4%
Kingsmead	1731	2.3%
Sardar Patel Stadium, Motera	1484	2.0%
Brabourne Stadium	1380	1.8%
SuperSport Park	1377	1.8%
Punjab Cricket Association IS Bindra Stadium, Mohali	1342	1.8%
Saurashtra Cricket Association Stadium	1229	1.6%
Himachal Pradesh Cricket Association Stadium	1115	1.5%
Dr. Y.S. Rajasekhara Reddy ACA-VDCA Cricket Stadium	1113	1.5%
New Wanderers Stadium	995	1.3%
St George's Park	870	1.1%
Dubai International Cricket Stadium	868	1.1%
Barabati Stadium	856	1.1%
JSCA International Stadium Complex	837	1.1%
Sheikh Zayed Stadium	836	1.1%
Other values (10)	5200	6.8%

Length

Max length	52
Median length	21
Mean length	25.04200542
Min length	8

Overview of Unicode Properties

Unique unicode characters	53
Unique unicode categories (?)	5
Unique unicode scripts (?)	2
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
a	249438	13.1%
	181787	9.5%
i	144851	7.6%
t	116628	6.1%
d	100582	5.3%
n	99416	5.2%
e	89658	4.7%
S	83734	4.4%
r	82652	4.3%
m	79499	4.2%
u	73234	3.8%
h	73066	3.8%
o	59778	3.1%
s	51234	2.7%
C	36775	1.9%
l	34635	1.8%
k	32193	1.7%
c	27088	1.4%
M	26441	1.4%
p	23305	1.2%
A	22382	1.2%
,	19242	1.0%
b	17121	0.9%
y	14308	0.8%
G	14238	0.7%
Other values (28)	150258	7.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1417808	74.5%
Uppercase Letter	279384	14.7%
Space Separator	181787	9.5%
Other Punctuation	23451	1.2%
Dash Punctuation	1113	0.1%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
S	83734	30.0%
C	36775	13.2%
M	26441	9.5%
A	22382	8.0%
G	14238	5.1%
P	13395	4.8%
R	10139	3.6%
I	9616	3.4%
K	8799	3.1%
W	8043	2.9%
D	8006	2.9%
F	7068	2.5%
E	7049	2.5%
U	6078	2.2%
B	4326	1.5%
Y	3201	1.1%
N	2973	1.1%
V	2225	0.8%
H	1732	0.6%
J	1207	0.4%
O	870	0.3%
Z	836	0.3%
T	251	0.1%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	181787	100.0%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
a	249438	17.6%
i	144851	10.2%
t	116628	8.2%
d	100582	7.1%
n	99416	7.0%
e	89658	6.3%
r	82652	5.8%
m	79499	5.6%
u	73234	5.2%
h	73066	5.2%
o	59778	4.2%
s	51234	3.6%
l	34635	2.4%
k	32193	2.3%
c	27088	1.9%
p	23305	1.6%
b	17121	1.2%
y	14308	1.0%
w	13285	0.9%
j	13273	0.9%
g	7453	0.5%
z	7068	0.5%
v	6446	0.5%
x	837	0.1%
f	760	0.1%

Most frequent Other Punctuation characters

Value	Count	Frequency (%)
,	19242	82.1%
.	3339	14.2%
'	870	3.7%

Most frequent Dash Punctuation characters

Value	Count	Frequency (%)
-	1113	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1697192	89.2%
Common	206351	10.8%

Most frequent Latin characters

Value	Count	Frequency (%)
a	249438	14.7%
i	144851	8.5%
t	116628	6.9%
d	100582	5.9%
n	99416	5.9%
e	89658	5.3%
S	83734	4.9%
r	82652	4.9%
m	79499	4.7%
u	73234	4.3%
h	73066	4.3%
o	59778	3.5%
s	51234	3.0%
C	36775	2.2%
l	34635	2.0%
k	32193	1.9%
c	27088	1.6%
M	26441	1.6%
p	23305	1.4%
A	22382	1.3%
b	17121	1.0%
y	14308	0.8%
G	14238	0.8%
P	13395	0.8%
w	13285	0.8%
Other values (23)	118256	7.0%

Most frequent Common characters

Value	Count	Frequency (%)
	181787	88.1%
,	19242	9.3%
.	3339	1.6%
-	1113	0.5%
'	870	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1903543	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
a	249438	13.1%
	181787	9.5%
i	144851	7.6%
t	116628	6.1%
d	100582	5.3%
n	99416	5.2%
e	89658	4.7%
S	83734	4.4%
r	82652	4.3%
m	79499	4.2%
u	73234	3.8%
h	73066	3.8%
o	59778	3.1%
s	51234	2.7%
C	36775	1.9%
l	34635	1.8%
k	32193	1.7%
c	27088	1.4%
M	26441	1.4%
p	23305	1.2%
A	22382	1.2%
,	19242	1.0%
b	17121	0.9%
y	14308	0.8%
G	14238	0.7%
Other values (28)	150258	7.9%

bat_team
Categorical

Distinct count	14
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	594.0 KiB

Mumbai Indians	10213
Kings XI Punjab	9219
Chennai Super Kings	9142
Royal Challengers Bangalore	8331
Kolkata Knight Riders	8033
Other values (9)	31076

Value	Count	Frequency (%)
Mumbai Indians	10213	13.4%
Kings XI Punjab	9219	12.1%
Chennai Super Kings	9142	12.0%
Royal Challengers Bangalore	8331	11.0%
Kolkata Knight Riders	8033	10.6%
Delhi Daredevils	7152	9.4%
Rajasthan Royals	6643	8.7%
Deccan Chargers	5280	6.9%
Sunrisers Hyderabad	5216	6.9%
Pune Warriors	2448	3.2%
Gujarat Lions	1726	2.3%
Rising Pune Supergiant	994	1.3%
Kochi Tuskers Kerala	876	1.2%
Rising Pune Supergiants	741	1.0%

Length

Max length	27
Median length	16
Mean length	17.86923461
Min length	13

Overview of Unicode Properties

Unique unicode characters	37
Unique unicode categories (?)	3
Unique unicode scripts (?)	2
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
a	152280	11.2%
n	117503	8.7%
	113350	8.3%
e	101428	7.5%
i	93770	6.9%
s	89490	6.6%
r	79754	5.9%
l	63180	4.7%
g	51806	3.8%
h	45457	3.3%
u	42310	3.1%
o	36388	2.7%
K	36179	2.7%
d	35830	2.6%
R	31385	2.3%
t	26170	1.9%
b	24648	1.8%
C	22753	1.7%
y	20190	1.5%
D	19584	1.4%
I	19432	1.4%
j	17588	1.3%
S	16093	1.2%
P	13402	1.0%
c	11436	0.8%
Other values (12)	76906	5.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1046379	77.0%
Uppercase Letter	198583	14.6%
Space Separator	113350	8.3%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
K	36179	18.2%
R	31385	15.8%
C	22753	11.5%
D	19584	9.9%
I	19432	9.8%
S	16093	8.1%
P	13402	6.7%
M	10213	5.1%
X	9219	4.6%
B	8331	4.2%
H	5216	2.6%
W	2448	1.2%
G	1726	0.9%
L	1726	0.9%
T	876	0.4%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
a	152280	14.6%
n	117503	11.2%
e	101428	9.7%
i	93770	9.0%
s	89490	8.6%
r	79754	7.6%
l	63180	6.0%
g	51806	5.0%
h	45457	4.3%
u	42310	4.0%
o	36388	3.5%
d	35830	3.4%
t	26170	2.5%
b	24648	2.4%
y	20190	1.9%
j	17588	1.7%
c	11436	1.1%
p	10877	1.0%
m	10213	1.0%
k	8909	0.9%
v	7152	0.7%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	113350	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1244962	91.7%
Common	113350	8.3%

Most frequent Latin characters

Value	Count	Frequency (%)
a	152280	12.2%
n	117503	9.4%
e	101428	8.1%
i	93770	7.5%
s	89490	7.2%
r	79754	6.4%
l	63180	5.1%
g	51806	4.2%
h	45457	3.7%
u	42310	3.4%
o	36388	2.9%
K	36179	2.9%
d	35830	2.9%
R	31385	2.5%
t	26170	2.1%
b	24648	2.0%
C	22753	1.8%
y	20190	1.6%
D	19584	1.6%
I	19432	1.6%
j	17588	1.4%
S	16093	1.3%
P	13402	1.1%
c	11436	0.9%
p	10877	0.9%
Other values (11)	66029	5.3%

Most frequent Common characters

Value	Count	Frequency (%)
	113350	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1358312	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
a	152280	11.2%
n	117503	8.7%
	113350	8.3%
e	101428	7.5%
i	93770	6.9%
s	89490	6.6%
r	79754	5.9%
l	63180	4.7%
g	51806	3.8%
h	45457	3.3%
u	42310	3.1%
o	36388	2.7%
K	36179	2.7%
d	35830	2.6%
R	31385	2.3%
t	26170	1.9%
b	24648	1.8%
C	22753	1.7%
y	20190	1.5%
D	19584	1.4%
I	19432	1.4%
j	17588	1.3%
S	16093	1.2%
P	13402	1.0%
c	11436	0.8%
Other values (12)	76906	5.7%

bowl_team
Categorical

Distinct count	14
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	594.0 KiB

Delhi Daredevils	10245
Royal Challengers Bangalore	9661
Mumbai Indians	9271
Kolkata Knight Riders	9211
Kings XI Punjab	8405
Other values (9)	29221

Value	Count	Frequency (%)
Delhi Daredevils	10245	13.5%
Royal Challengers Bangalore	9661	12.7%
Mumbai Indians	9271	12.2%
Kolkata Knight Riders	9211	12.1%
Kings XI Punjab	8405	11.1%
Rajasthan Royals	7773	10.2%
Chennai Super Kings	6497	8.5%
Deccan Chargers	3984	5.2%
Sunrisers Hyderabad	3589	4.7%
Pune Warriors	3083	4.1%
Gujarat Lions	1970	2.6%
Rising Pune Supergiant	962	1.3%
Kochi Tuskers Kerala	736	1.0%
Rising Pune Supergiants	627	0.8%

Length

Max length	27
Median length	16
Mean length	17.96804536
Min length	13

Overview of Unicode Properties

Unique unicode characters	37
Unique unicode categories (?)	3
Unique unicode scripts (?)	2
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
a	157077	11.5%
	112113	8.2%
n	108542	7.9%
e	104802	7.7%
i	92998	6.8%
s	88739	6.5%
r	78290	5.7%
l	76854	5.6%
g	50597	3.7%
h	48107	3.5%
o	42095	3.1%
u	36729	2.7%
R	36007	2.6%
d	35905	2.6%
K	34796	2.5%
t	29754	2.2%
D	24474	1.8%
b	21265	1.6%
y	21023	1.5%
C	20142	1.5%
j	18148	1.3%
I	17676	1.3%
P	13077	1.0%
S	11675	0.9%
v	10245	0.8%
Other values (12)	74693	5.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1057178	77.4%
Uppercase Letter	196532	14.4%
Space Separator	112113	8.2%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
R	36007	18.3%
K	34796	17.7%
D	24474	12.5%
C	20142	10.2%
I	17676	9.0%
P	13077	6.7%
S	11675	5.9%
B	9661	4.9%
M	9271	4.7%
X	8405	4.3%
H	3589	1.8%
W	3083	1.6%
G	1970	1.0%
L	1970	1.0%
T	736	0.4%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
a	157077	14.9%
n	108542	10.3%
e	104802	9.9%
i	92998	8.8%
s	88739	8.4%
r	78290	7.4%
l	76854	7.3%
g	50597	4.8%
h	48107	4.6%
o	42095	4.0%
u	36729	3.5%
d	35905	3.4%
t	29754	2.8%
b	21265	2.0%
y	21023	2.0%
j	18148	1.7%
v	10245	1.0%
k	9947	0.9%
m	9271	0.9%
c	8704	0.8%
p	8086	0.8%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	112113	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1253710	91.8%
Common	112113	8.2%

Most frequent Latin characters

Value	Count	Frequency (%)
a	157077	12.5%
n	108542	8.7%
e	104802	8.4%
i	92998	7.4%
s	88739	7.1%
r	78290	6.2%
l	76854	6.1%
g	50597	4.0%
h	48107	3.8%
o	42095	3.4%
u	36729	2.9%
R	36007	2.9%
d	35905	2.9%
K	34796	2.8%
t	29754	2.4%
D	24474	2.0%
b	21265	1.7%
y	21023	1.7%
C	20142	1.6%
j	18148	1.4%
I	17676	1.4%
P	13077	1.0%
S	11675	0.9%
v	10245	0.8%
k	9947	0.8%
Other values (11)	64746	5.2%

Most frequent Common characters

Value	Count	Frequency (%)
	112113	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1365823	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
a	157077	11.5%
	112113	8.2%
n	108542	7.9%
e	104802	7.7%
i	92998	6.8%
s	88739	6.5%
r	78290	5.7%
l	76854	5.6%
g	50597	3.7%
h	48107	3.5%
o	42095	3.1%
u	36729	2.7%
R	36007	2.6%
d	35905	2.6%
K	34796	2.5%
t	29754	2.2%
D	24474	1.8%
b	21265	1.6%
y	21023	1.5%
C	20142	1.5%
j	18148	1.3%
I	17676	1.3%
P	13077	1.0%
S	11675	0.9%
v	10245	0.8%
Other values (12)	74693	5.5%

batsman
Categorical

HIGH CARDINALITY

Distinct count	411
Unique (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	594.0 KiB

SK Raina	1921
V Kohli	1825
S Dhawan	1730
RG Sharma	1726
MS Dhoni	1584
Other values (406)	67228

Value	Count	Frequency (%)
SK Raina	1921	2.5%
V Kohli	1825	2.4%
S Dhawan	1730	2.3%
RG Sharma	1726	2.3%
MS Dhoni	1584	2.1%
DA Warner	1412	1.9%
AM Rahane	1333	1.8%
G Gambhir	1315	1.7%
CH Gayle	1299	1.7%
AB de Villiers	1295	1.7%
RV Uthappa	1263	1.7%
BB McCullum	1242	1.6%
KD Karthik	1242	1.6%
M Vijay	1131	1.5%
SE Marsh	1120	1.5%
SR Tendulkar	1062	1.4%
AT Rayudu	1040	1.4%
MEK Hussey	1020	1.3%
JP Duminy	989	1.3%
Yuvraj Singh	980	1.3%
SR Watson	960	1.3%
PA Patel	931	1.2%
KA Pollard	919	1.2%
DR Smith	914	1.2%
R Dravid	906	1.2%
Other values (386)	44855	59.0%

Length

Max length	20
Median length	9
Mean length	9.407280238
Min length	5

Overview of Unicode Properties

Unique unicode characters	54
Unique unicode categories (?)	4
Unique unicode scripts (?)	2
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
	79532	11.1%
a	79011	11.0%
i	35540	5.0%
h	33265	4.7%
n	32549	4.6%
r	31105	4.3%
S	29033	4.1%
e	28384	4.0%
l	26059	3.6%
M	20107	2.8%
s	19092	2.7%
R	17518	2.4%
A	17335	2.4%
K	16654	2.3%
D	15994	2.2%
o	15844	2.2%
u	15812	2.2%
y	14680	2.1%
d	14570	2.0%
t	14443	2.0%
P	13976	2.0%
m	12800	1.8%
J	11020	1.5%
G	10161	1.4%
V	10015	1.4%
Other values (29)	100586	14.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	416556	58.3%
Uppercase Letter	218855	30.6%
Space Separator	79532	11.1%
Dash Punctuation	142	< 0.1%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
S	29033	13.3%
M	20107	9.2%
R	17518	8.0%
A	17335	7.9%
K	16654	7.6%
D	15994	7.3%
P	13976	6.4%
J	11020	5.0%
G	10161	4.6%
V	10015	4.6%
B	9353	4.3%
C	9242	4.2%
H	8488	3.9%
T	6736	3.1%
W	4653	2.1%
L	3995	1.8%
Y	3093	1.4%
N	2848	1.3%
E	2703	1.2%
F	1969	0.9%
U	1517	0.7%
O	1103	0.5%
I	1052	0.5%
Q	189	0.1%
Z	84	< 0.1%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	79532	100.0%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
a	79011	19.0%
i	35540	8.5%
h	33265	8.0%
n	32549	7.8%
r	31105	7.5%
e	28384	6.8%
l	26059	6.3%
s	19092	4.6%
o	15844	3.8%
u	15812	3.8%
y	14680	3.5%
d	14570	3.5%
t	14443	3.5%
m	12800	3.1%
g	7918	1.9%
w	6830	1.6%
k	6740	1.6%
j	4585	1.1%
p	4583	1.1%
c	3789	0.9%
v	3666	0.9%
b	3254	0.8%
q	580	0.1%
x	566	0.1%
z	513	0.1%

Most frequent Dash Punctuation characters

Value	Count	Frequency (%)
-	142	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	635411	88.9%
Common	79674	11.1%

Most frequent Latin characters

Value	Count	Frequency (%)
a	79011	12.4%
i	35540	5.6%
h	33265	5.2%
n	32549	5.1%
r	31105	4.9%
S	29033	4.6%
e	28384	4.5%
l	26059	4.1%
M	20107	3.2%
s	19092	3.0%
R	17518	2.8%
A	17335	2.7%
K	16654	2.6%
D	15994	2.5%
o	15844	2.5%
u	15812	2.5%
y	14680	2.3%
d	14570	2.3%
t	14443	2.3%
P	13976	2.2%
m	12800	2.0%
J	11020	1.7%
G	10161	1.6%
V	10015	1.6%
B	9353	1.5%
Other values (27)	91091	14.3%

Most frequent Common characters

Value	Count	Frequency (%)
	79532	99.8%
-	142	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	715085	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
	79532	11.1%
a	79011	11.0%
i	35540	5.0%
h	33265	4.7%
n	32549	4.6%
r	31105	4.3%
S	29033	4.1%
e	28384	4.0%
l	26059	3.6%
M	20107	2.8%
s	19092	2.7%
R	17518	2.4%
A	17335	2.4%
K	16654	2.3%
D	15994	2.2%
o	15844	2.2%
u	15812	2.2%
y	14680	2.1%
d	14570	2.0%
t	14443	2.0%
P	13976	2.0%
m	12800	1.8%
J	11020	1.5%
G	10161	1.4%
V	10015	1.4%
Other values (29)	100586	14.1%

bowler
Categorical

HIGH CARDINALITY

Distinct count	329
Unique (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	594.0 KiB

Harbhajan Singh	1404
PP Chawla	1399
P Kumar	1386
SL Malinga	1333
UT Yadav	1304
Other values (324)	69188

Value	Count	Frequency (%)
Harbhajan Singh	1404	1.8%
PP Chawla	1399	1.8%
P Kumar	1386	1.8%
SL Malinga	1333	1.8%
UT Yadav	1304	1.7%
Z Khan	1222	1.6%
A Mishra	1217	1.6%
IK Pathan	1194	1.6%
SP Narine	1185	1.6%
JH Kallis	1144	1.5%
SR Watson	1078	1.4%
DJ Bravo	1053	1.4%
R Vinay Kumar	1042	1.4%
M Morkel	1035	1.4%
RA Jadeja	1022	1.3%
RP Singh	1008	1.3%
A Nehra	1006	1.3%
R Ashwin	993	1.3%
B Kumar	952	1.3%
DW Steyn	943	1.2%
R Bhatia	925	1.2%
PP Ojha	906	1.2%
DS Kulkarni	802	1.1%
AB Dinda	797	1.0%
SK Trivedi	778	1.0%
Other values (304)	48886	64.3%

Length

Max length	17
Median length	9
Mean length	9.437932486
Min length	5

Overview of Unicode Properties

Unique unicode characters	52
Unique unicode categories (?)	4
Unique unicode scripts (?)	2
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
a	90059	12.6%
	78883	11.0%
n	39178	5.5%
r	37397	5.2%
h	34376	4.8%
e	32157	4.5%
i	30987	4.3%
S	27714	3.9%
l	24308	3.4%
M	19627	2.7%
P	19182	2.7%
A	17520	2.4%
o	16935	2.4%
t	16458	2.3%
s	15994	2.2%
m	15772	2.2%
K	15626	2.2%
u	14152	2.0%
R	14122	2.0%
d	13969	1.9%
J	13469	1.9%
B	10185	1.4%
D	9621	1.3%
g	9413	1.3%
k	7879	1.1%
Other values (27)	92432	12.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	433619	60.4%
Uppercase Letter	204621	28.5%
Space Separator	78883	11.0%
Dash Punctuation	292	< 0.1%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
S	27714	13.5%
M	19627	9.6%
P	19182	9.4%
A	17520	8.6%
K	15626	7.6%
R	14122	6.9%
J	13469	6.6%
B	10185	5.0%
D	9621	4.7%
H	7640	3.7%
C	7634	3.7%
T	6241	3.1%
N	5781	2.8%
V	4761	2.3%
W	4498	2.2%
L	4310	2.1%
Y	3820	1.9%
G	3278	1.6%
I	2816	1.4%
U	1981	1.0%
Z	1431	0.7%
F	1425	0.7%
O	1107	0.5%
E	832	0.4%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	78883	100.0%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
a	90059	20.8%
n	39178	9.0%
r	37397	8.6%
h	34376	7.9%
e	32157	7.4%
i	30987	7.1%
l	24308	5.6%
o	16935	3.9%
t	16458	3.8%
s	15994	3.7%
m	15772	3.6%
u	14152	3.3%
d	13969	3.2%
g	9413	2.2%
k	7879	1.8%
y	6304	1.5%
v	5811	1.3%
w	5292	1.2%
j	5136	1.2%
b	4218	1.0%
p	2930	0.7%
c	2280	0.5%
f	971	0.2%
z	783	0.2%
q	683	0.2%

Most frequent Dash Punctuation characters

Value	Count	Frequency (%)
-	292	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	638240	89.0%
Common	79175	11.0%

Most frequent Latin characters

Value	Count	Frequency (%)
a	90059	14.1%
n	39178	6.1%
r	37397	5.9%
h	34376	5.4%
e	32157	5.0%
i	30987	4.9%
S	27714	4.3%
l	24308	3.8%
M	19627	3.1%
P	19182	3.0%
A	17520	2.7%
o	16935	2.7%
t	16458	2.6%
s	15994	2.5%
m	15772	2.5%
K	15626	2.4%
u	14152	2.2%
R	14122	2.2%
d	13969	2.2%
J	13469	2.1%
B	10185	1.6%
D	9621	1.5%
g	9413	1.5%
k	7879	1.2%
H	7640	1.2%
Other values (25)	84500	13.2%

Most frequent Common characters

Value	Count	Frequency (%)
	78883	99.6%
-	292	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	717415	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
a	90059	12.6%
	78883	11.0%
n	39178	5.5%
r	37397	5.2%
h	34376	4.8%
e	32157	4.5%
i	30987	4.3%
S	27714	3.9%
l	24308	3.4%
M	19627	2.7%
P	19182	2.7%
A	17520	2.4%
o	16935	2.4%
t	16458	2.3%
s	15994	2.2%
m	15772	2.2%
K	15626	2.2%
u	14152	2.0%
R	14122	2.0%
d	13969	1.9%
J	13469	1.9%
B	10185	1.4%
D	9621	1.3%
g	9413	1.3%
k	7879	1.1%
Other values (27)	92432	12.9%

runs
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct count	252
Unique (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	74.88934933038651
Minimum	0
Maximum	263
Zeros	808
Zeros (%)	1.1%
Memory size	594.0 KiB

Quantile statistics

Minimum	0
5-th percentile	5
Q1	34
median	70
Q3	111
95-th percentile	161
Maximum	263
Range	263
Interquartile range (IQR)	77

Descriptive statistics

Standard deviation	48.82332731
Coefficient of variation (CV)	0.6519395314
Kurtosis	-0.6316348343
Mean	74.88934933
Median Absolute Deviation (MAD)	38
Skewness	0.3944031905
Sum	5692639
Variance	2383.717289

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	895	1.2%
0	808	1.1%
5	697	0.9%
2	649	0.9%
4	643	0.8%
46	593	0.8%
21	582	0.8%
22	574	0.8%
77	567	0.7%
54	567	0.7%
9	566	0.7%
48	564	0.7%
41	564	0.7%
45	564	0.7%
15	563	0.7%
11	561	0.7%
53	559	0.7%
6	559	0.7%
8	556	0.7%
52	552	0.7%
50	552	0.7%
64	551	0.7%
70	549	0.7%
7	546	0.7%
19	545	0.7%
Other values (227)	61088	80.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	808	1.1%
1	895	1.2%
2	649	0.9%
3	410	0.5%
4	643	0.8%
5	697	0.9%
6	559	0.7%
7	546	0.7%
8	556	0.7%
9	566	0.7%

Value	Count	Frequency (%)
263	2	< 0.1%
262	2	< 0.1%
260	1	< 0.1%
259	1	< 0.1%
253	1	< 0.1%
252	1	< 0.1%
251	2	< 0.1%
248	3	< 0.1%
246	1	< 0.1%
245	1	< 0.1%

wickets
Real number (ℝ_≥0)

ZEROS

Distinct count	11
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.415844449706633
Minimum	0
Maximum	10
Zeros	14840
Zeros (%)	19.5%
Memory size	594.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	4
95-th percentile	6
Maximum	10
Range	10
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.015206543
Coefficient of variation (CV)	0.8341623746
Kurtosis	0.1775574685
Mean	2.41584445
Median Absolute Deviation (MAD)	1
Skewness	0.7916206391
Sum	183638
Variance	4.061057411

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	14900	19.6%
0	14840	19.5%
2	13927	18.3%
3	11568	15.2%
4	9124	12.0%
5	5208	6.9%
6	3334	4.4%
7	1784	2.3%
8	856	1.1%
9	426	0.6%
10	47	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	14840	19.5%
1	14900	19.6%
2	13927	18.3%
3	11568	15.2%
4	9124	12.0%
5	5208	6.9%
6	3334	4.4%
7	1784	2.3%
8	856	1.1%
9	426	0.6%

Value	Count	Frequency (%)
10	47	0.1%
9	426	0.6%
8	856	1.1%
7	1784	2.3%
6	3334	4.4%
5	5208	6.9%
4	9124	12.0%
3	11568	15.2%
2	13927	18.3%
1	14900	19.6%

overs
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct count	140
Unique (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	9.783067592811848
Minimum	0.0
Maximum	19.6
Zeros	37
Zeros (%)	< 0.1%
Memory size	594.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0.6
Q1	4.6
median	9.6
Q3	14.6
95-th percentile	18.6
Maximum	19.6
Range	19.6
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	5.772586874
Coefficient of variation (CV)	0.5900589789
Kurtosis	-1.207909772
Mean	9.783067593
Median Absolute Deviation (MAD)	5
Skewness	0.009904070707
Sum	743650.1
Variance	33.32275922

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0.1	655	0.9%
0.4	652	0.9%
1.1	650	0.9%
2.3	649	0.9%
3.5	649	0.9%
1.2	648	0.9%
1.4	648	0.9%
0.2	646	0.8%
5.2	645	0.8%
1.3	645	0.8%
1.5	644	0.8%
5.1	644	0.8%
18.1	644	0.8%
2.2	644	0.8%
4.3	642	0.8%
0.3	642	0.8%
3.4	641	0.8%
4.4	641	0.8%
6.5	640	0.8%
8.4	640	0.8%
3.3	640	0.8%
4.2	640	0.8%
0.5	640	0.8%
2.5	640	0.8%
16.5	639	0.8%
Other values (115)	59906	78.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	37	< 0.1%
0.1	655	0.9%
0.2	646	0.8%
0.3	642	0.8%
0.4	652	0.9%
0.5	640	0.8%
0.6	617	0.8%
1	40	0.1%
1.1	650	0.9%
1.2	648	0.9%

Value	Count	Frequency (%)
19.6	574	0.8%
19.5	607	0.8%
19.4	612	0.8%
19.3	611	0.8%
19.2	603	0.8%
19.1	622	0.8%
19	37	< 0.1%
18.6	593	0.8%
18.5	612	0.8%
18.4	628	0.8%

runs_last_5
Real number (ℝ_≥0)

ZEROS

Distinct count	102
Unique (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	33.21643381482359
Minimum	0
Maximum	113
Zeros	808
Zeros (%)	1.1%
Memory size	594.0 KiB

Quantile statistics

Minimum	0
5-th percentile	5
Q1	24
median	34
Q3	43
95-th percentile	57
Maximum	113
Range	113
Interquartile range (IQR)	19

Descriptive statistics

Standard deviation	14.91417359
Coefficient of variation (CV)	0.4489998436
Kurtosis	0.08013547457
Mean	33.21643381
Median Absolute Deviation (MAD)	9
Skewness	-0.0830894154
Sum	2524914
Variance	222.4325738

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
34	2408	3.2%
33	2328	3.1%
35	2317	3.0%
36	2289	3.0%
32	2281	3.0%
37	2249	3.0%
38	2200	2.9%
31	2143	2.8%
39	2134	2.8%
29	2047	2.7%
40	2008	2.6%
30	1988	2.6%
41	1961	2.6%
28	1896	2.5%
42	1872	2.5%
27	1804	2.4%
43	1773	2.3%
26	1739	2.3%
44	1671	2.2%
45	1658	2.2%
25	1535	2.0%
46	1478	1.9%
24	1390	1.8%
23	1322	1.7%
47	1296	1.7%
Other values (77)	28227	37.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	808	1.1%
1	895	1.2%
2	649	0.9%
3	410	0.5%
4	643	0.8%
5	697	0.9%
6	559	0.7%
7	547	0.7%
8	557	0.7%
9	566	0.7%

Value	Count	Frequency (%)
113	1	< 0.1%
112	2	< 0.1%
111	2	< 0.1%
110	2	< 0.1%
109	1	< 0.1%
104	1	< 0.1%
100	1	< 0.1%
95	1	< 0.1%
94	1	< 0.1%
93	4	< 0.1%

wickets_last_5
Real number (ℝ_≥0)

ZEROS

Distinct count	8
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.1203067855921278
Minimum	0
Maximum	7
Zeros	24918
Zeros (%)	32.8%
Memory size	594.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	3
Maximum	7
Range	7
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.053342865
Coefficient of variation (CV)	0.9402271579
Kurtosis	0.7291899029
Mean	1.120306786
Median Absolute Deviation (MAD)	1
Skewness	0.90111727
Sum	85159
Variance	1.109531191

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	27238	35.8%
0	24918	32.8%
2	16102	21.2%
3	5802	7.6%
4	1534	2.0%
5	350	0.5%
6	65	0.1%
7	5	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	24918	32.8%
1	27238	35.8%
2	16102	21.2%
3	5802	7.6%
4	1534	2.0%
5	350	0.5%
6	65	0.1%
7	5	< 0.1%

Value	Count	Frequency (%)
7	5	< 0.1%
6	65	0.1%
5	350	0.5%
4	1534	2.0%
3	5802	7.6%
2	16102	21.2%
1	27238	35.8%
0	24918	32.8%

striker
Real number (ℝ_≥0)

ZEROS

Distinct count	155
Unique (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	24.962283263609336
Minimum	0
Maximum	175
Zeros	1437
Zeros (%)	1.9%
Memory size	594.0 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	10
median	20
Q3	35
95-th percentile	63
Maximum	175
Range	175
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	20.07975195
Coefficient of variation (CV)	0.8044036572
Kurtosis	2.910357355
Mean	24.96228326
Median Absolute Deviation (MAD)	12
Skewness	1.383217968
Sum	1897483
Variance	403.1964383

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
4	2266	3.0%
1	2188	2.9%
5	2087	2.7%
6	1993	2.6%
10	1981	2.6%
12	1949	2.6%
13	1945	2.6%
9	1926	2.5%
8	1920	2.5%
11	1913	2.5%
14	1833	2.4%
15	1816	2.4%
16	1740	2.3%
7	1701	2.2%
17	1694	2.2%
20	1683	2.2%
19	1607	2.1%
2	1594	2.1%
18	1589	2.1%
24	1574	2.1%
23	1559	2.1%
21	1487	2.0%
22	1462	1.9%
0	1437	1.9%
25	1432	1.9%
Other values (130)	31638	41.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1437	1.9%
1	2188	2.9%
2	1594	2.1%
3	1279	1.7%
4	2266	3.0%
5	2087	2.7%
6	1993	2.6%
7	1701	2.2%
8	1920	2.5%
9	1926	2.5%

Value	Count	Frequency (%)
175	2	< 0.1%
174	3	< 0.1%
173	1	< 0.1%
167	7	< 0.1%
166	1	< 0.1%
165	1	< 0.1%
161	3	< 0.1%
160	1	< 0.1%
158	1	< 0.1%
156	4	< 0.1%

non-striker
Real number (ℝ_≥0)

ZEROS

Distinct count	88
Unique (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	8.869287236561686
Minimum	0
Maximum	109
Zeros	12246
Zeros (%)	16.1%
Memory size	594.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	5
Q3	13
95-th percentile	31
Maximum	109
Range	109
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	10.79574241
Coefficient of variation (CV)	1.217205185
Kurtosis	5.295229829
Mean	8.869287237
Median Absolute Deviation (MAD)	4
Skewness	2.03428451
Sum	674190
Variance	116.5480541

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	12246	16.1%
1	9642	12.7%
2	6210	8.2%
3	4174	5.5%
4	3994	5.3%
5	3454	4.5%
6	3300	4.3%
7	2744	3.6%
8	2680	3.5%
9	2393	3.1%
10	2088	2.7%
11	1883	2.5%
12	1817	2.4%
13	1782	2.3%
14	1539	2.0%
15	1413	1.9%
16	1215	1.6%
17	1112	1.5%
18	985	1.3%
19	983	1.3%
20	839	1.1%
21	769	1.0%
23	678	0.9%
22	638	0.8%
24	606	0.8%
Other values (63)	6830	9.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	12246	16.1%
1	9642	12.7%
2	6210	8.2%
3	4174	5.5%
4	3994	5.3%
5	3454	4.5%
6	3300	4.3%
7	2744	3.6%
8	2680	3.5%
9	2393	3.1%

Value	Count	Frequency (%)
109	2	< 0.1%
103	1	< 0.1%
97	1	< 0.1%
95	2	< 0.1%
93	1	< 0.1%
87	1	< 0.1%
82	4	< 0.1%
81	3	< 0.1%
80	2	< 0.1%
79	4	< 0.1%

total
Real number (ℝ_≥0)

Distinct count	138
Unique (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	160.9014523640382
Minimum	67
Maximum	263
Zeros	0
Zeros (%)	0.0%
Memory size	594.0 KiB

Quantile statistics

Minimum	67
5-th percentile	112
Q1	142
median	162
Q3	181
95-th percentile	208
Maximum	263
Range	196
Interquartile range (IQR)	39

Descriptive statistics

Standard deviation	29.24623083
Coefficient of variation (CV)	0.1817648654
Kurtosis	0.4072727116
Mean	160.9014524
Median Absolute Deviation (MAD)	20
Skewness	-0.06026792976
Sum	12230763
Variance	855.3420175

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
165	1746	2.3%
178	1505	2.0%
183	1495	2.0%
168	1485	2.0%
163	1485	2.0%
164	1484	2.0%
148	1472	1.9%
187	1373	1.8%
157	1370	1.8%
160	1359	1.8%
171	1254	1.6%
170	1241	1.6%
154	1230	1.6%
162	1129	1.5%
185	1125	1.5%
142	1121	1.5%
161	1120	1.5%
172	1116	1.5%
145	1115	1.5%
141	1109	1.5%
158	1109	1.5%
181	997	1.3%
191	994	1.3%
156	993	1.3%
159	991	1.3%
Other values (113)	44596	58.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
67	206	0.3%
70	91	0.1%
73	98	0.1%
80	117	0.2%
81	96	0.1%
82	114	0.1%
92	244	0.3%
94	124	0.2%
95	226	0.3%
97	187	0.2%

Value	Count	Frequency (%)
263	128	0.2%
248	122	0.2%
246	122	0.2%
240	124	0.2%
235	125	0.2%
232	126	0.2%
231	251	0.3%
230	129	0.2%
227	125	0.2%
226	257	0.3%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

First rows

	mid	date	venue	bat_team	bowl_team	batsman	bowler	runs	overs	runs_last_5	striker	total
0	1	2008-04-18	M Chinnaswamy Stadium	Kolkata Knight Riders	Royal Challengers Bangalore	SC Ganguly	P Kumar	1	0.1	1	0	222
1	1	2008-04-18	M Chinnaswamy Stadium	Kolkata Knight Riders	Royal Challengers Bangalore	BB McCullum	P Kumar	1	0.2	1	0	222
2	1	2008-04-18	M Chinnaswamy Stadium	Kolkata Knight Riders	Royal Challengers Bangalore	BB McCullum	P Kumar	2	0.2	2	0	222
3	1	2008-04-18	M Chinnaswamy Stadium	Kolkata Knight Riders	Royal Challengers Bangalore	BB McCullum	P Kumar	2	0.3	2	0	222
4	1	2008-04-18	M Chinnaswamy Stadium	Kolkata Knight Riders	Royal Challengers Bangalore	BB McCullum	P Kumar	2	0.4	2	0	222
5	1	2008-04-18	M Chinnaswamy Stadium	Kolkata Knight Riders	Royal Challengers Bangalore	BB McCullum	P Kumar	2	0.5	2	0	222
6	1	2008-04-18	M Chinnaswamy Stadium	Kolkata Knight Riders	Royal Challengers Bangalore	BB McCullum	P Kumar	3	0.6	3	0	222
7	1	2008-04-18	M Chinnaswamy Stadium	Kolkata Knight Riders	Royal Challengers Bangalore	BB McCullum	Z Khan	3	1.1	3	0	222
8	1	2008-04-18	M Chinnaswamy Stadium	Kolkata Knight Riders	Royal Challengers Bangalore	BB McCullum	Z Khan	7	1.2	7	4	222
9	1	2008-04-18	M Chinnaswamy Stadium	Kolkata Knight Riders	Royal Challengers Bangalore	BB McCullum	Z Khan	11	1.3	11	8	222

Last rows

	mid	date	venue	bat_team	bowl_team	batsman	bowler	runs	wickets	overs	runs_last_5	wickets_last_5	striker	non-striker	total
76004	617	2017-05-21	Rajiv Gandhi International Stadium, Uppal	Mumbai Indians	Rising Pune Supergiant	KH Pandya	JD Unadkat	114	7	18.5	36	1	35	12	129
76005	617	2017-05-21	Rajiv Gandhi International Stadium, Uppal	Mumbai Indians	Rising Pune Supergiant	KH Pandya	JD Unadkat	115	7	18.6	36	1	36	12	129
76006	617	2017-05-21	Rajiv Gandhi International Stadium, Uppal	Mumbai Indians	Rising Pune Supergiant	KH Pandya	DT Christian	116	7	19.0	37	0	36	12	129
76007	617	2017-05-21	Rajiv Gandhi International Stadium, Uppal	Mumbai Indians	Rising Pune Supergiant	KH Pandya	DT Christian	116	7	19.1	37	0	36	12	129
76008	617	2017-05-21	Rajiv Gandhi International Stadium, Uppal	Mumbai Indians	Rising Pune Supergiant	KH Pandya	DT Christian	120	7	19.2	40	0	40	12	129
76009	617	2017-05-21	Rajiv Gandhi International Stadium, Uppal	Mumbai Indians	Rising Pune Supergiant	KH Pandya	DT Christian	121	7	19.2	40	0	40	12	129
76010	617	2017-05-21	Rajiv Gandhi International Stadium, Uppal	Mumbai Indians	Rising Pune Supergiant	KH Pandya	DT Christian	127	7	19.3	46	0	46	12	129
76011	617	2017-05-21	Rajiv Gandhi International Stadium, Uppal	Mumbai Indians	Rising Pune Supergiant	KH Pandya	DT Christian	128	7	19.4	47	0	47	12	129
76012	617	2017-05-21	Rajiv Gandhi International Stadium, Uppal	Mumbai Indians	Rising Pune Supergiant	MG Johnson	DT Christian	129	7	19.5	48	0	47	13	129
76013	617	2017-05-21	Rajiv Gandhi International Stadium, Uppal	Mumbai Indians	Rising Pune Supergiant	KH Pandya	DT Christian	129	8	19.6	47	1	47	13	129

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most frequent Dash Punctuation characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Uppercase Letter characters

Most frequent Space Separator characters

Most frequent Lowercase Letter characters

Most frequent Other Punctuation characters

Most frequent Dash Punctuation characters

Most occurring scripts

Most frequent Latin characters

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Uppercase Letter characters

Most frequent Lowercase Letter characters

Most frequent Space Separator characters

Most occurring scripts

Most frequent Latin characters

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Uppercase Letter characters

Most frequent Lowercase Letter characters

Most frequent Space Separator characters

Most occurring scripts

Most frequent Latin characters

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Uppercase Letter characters

Most frequent Space Separator characters

Most frequent Lowercase Letter characters

Most frequent Dash Punctuation characters

Most occurring scripts

Most frequent Latin characters

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Uppercase Letter characters

Most frequent Space Separator characters

Most frequent Lowercase Letter characters

Most frequent Dash Punctuation characters

Most occurring scripts

Most frequent Latin characters

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows